I will design and analyze doe studies for pharmaceutical process characterization

Italy

I speak English, Italian, French

Pharmaceutical Statistician, DoE, QbD, GMP, CMC, Process Validation

I'm a pharma statistician with 20+ years of experience in API manufacturing — first as a chemical process developer, then as a CMC/MSAT statistician. I understand your process, not just your data. I s...
About this Gig

Are you developing or optimizing a pharmaceutical manufacturing process and need rigorous, audit-ready statistical support for your Design of Experiments?

I bring 20+ years of hands-on experience in API manufacturing first as a chemical process developer, then as a CMC/MSAT statistician. I don't just run the numbers: I understand the chemistry, the GMP constraints, and what the results actually mean for your process.

What I can help you with:

  • Screening designs (Plackett-Burman, fractional factorial) to identify critical process parameters (CPPs)
  • Response Surface Methodology (RSM) for process optimization and design space definition
  • Mixture designs for formulation studies
  • Full factorial and custom designs for robustness studies
  • Statistical analysis, interpretation, and report writing (Minitab, MODDE, R, Python)
  • QbD-aligned documentation suitable for CMC regulatory submissions

What you'll receive:

  • A clear, well-structured statistical report
  • Interpretation grounded in process knowledge, not just p-values
  • Deliverables formatted for internal use or regulatory review

Typical clients: pharma/biotech companies, CROs, MSAT and R&D teams without dedicated statistical support.

Not sure if you

Programming language:

Python

R

Technology:

Google Sheets

Jupyter Notebook

SAS

Analysis Type:

Quantitative Analysis

Statistical Analysis

Expertise:

Experiment design

Algorithms

Probability

Statistics

Tools:

Jamovi

Minitab

RStudio

Other